arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2011.01457cs.CRcs.LG

Blockchain based Attack Detection on Machine Learning Algorithms for IoT based E-Health Applications

Vellore Institute of Technology(韦洛尔理工学院);Thapar Institute of Engineering(塔帕尔工程学院);University of Petroleum and Energy Studies(石油与能源研究大学);Canadian Institute for Cybersecurity(加拿大网络安全研究所);University of New Brunswick(新不伦瑞克大学)

Thippa Reddy Gadekallu, Manoj M K, Sivarama Krishnan S, Neeraj Kumar, Saqib Hakak, Sweta Bhattacharya

英文摘要:

The application of machine learning (ML) algorithms are massively scaling-up due to rapid digitization and emergence of new tecnologies like Internet of Things (IoT). In today's digital era, we can find ML algorithms being applied in the areas of healthcare, IoT, engineering, finance and so on. However, all these algorithms need to be trained in order to predict/solve a particular problem. There is high possibility of tampering the training datasets and produce biased results. Hence, in this article, we have proposed blockchain based solution to secure the datasets generated from IoT devices for E-Health applications. The proposed blockchain based solution uses using private cloud to tackle the aforementioned issue. For evaluation, we have developed a system that can be used by dataset owners to secure their data.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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